Principles
Replicability crisis
Open research practices
From the replicability crisis to the credibility revolution
Thanks for visiting the LMU Open Science Center–our site is still under construction for now, but we’ll be live soon!
Topic | Tutorial | Description | Tags |
---|---|---|---|
-reproducible_processes | Introduction to {renv} | Make your projects reproducible by learning how to (easily) manage your R packages | R |
-reproducible_processes | Introduction to Version Control within RStudio | Explore the git version control software and its integrations with the popular RStudio interactive development environment | R, Git |
data_management | TBD: Data anonymity | Tutorial in progress… | Data anonymity |
data_management | Data dictionary | Tutorial in progress… | Documentation |
data_management | FAIR Data Management | Take steps towards making your data FAIR: Findable, Accessible, Interoperable, Reusable | FAIR data, Data management, Documentation |
data_management | Maintaining Privacy with Open Data | A presentation on how to make data open to the public without revealing sensitive information | Open data, Data anonymity |
data_management | Introduction to Open Data | An introductory presentation on the what, why, and how of making research data open | Open data |
data_management | TBD: Generating Synthetic Data | Tutorial in progress… | Data simulation, Data anonymity |
principles | Credible science | Learn the ins and outs of reliable, reproducible, and open research | Open research practices |
principles | Replicability Crisis | A presentation on the replication shortcomings of science and how researchers can improve | Included Categories |
publishing_outputs | Code publishing | Tie together your skills and publish your work | Licences, Documentation |
publishing_outputs | Open access, preprints, postprints | Watch this presentation on why pre- and postprinting procedures are important to open science and how to accomplish them | Open Access, Preprints |
reproducible_processes | Advanced git | Learn git features like branching and gitflow, and how to take advantage of issues, pull requests, and more on GitHub | Git |
reproducible_processes | Collaborative coding with GitHub and RStudio | After learning the basics of git, apply your skills in an interactive tutorial | R, Git, GitHub |
reproducible_processes | Introduction to Quarto | Discover the basics of setting up computationally reproducible analyses, manuscripts, and presentations | R, Quarto |
reproducible_processes | Introduction to R | Learn the basics of the R programming language | R |
reproducible_processes | Introduction to Zotero | Easily save your sources to the Zotero software, and learn how to insert these citations into your documents | Zotero, Quarto |
study_planning | Introduction to Data Simulations in R | How to simulate data in R to prepare your studies | Data simulation |
study_planning | Preregistration: Why and How? | Tutorial in progress… | Preregistration |
study_planning | Simulations for Advanced Power Analyses | This tutorial provides a deeper dive into simulations in R, with emphasis on GLMs, LMEs, and SEMs | Data simulation, Power analyses |